Because most traffic accidents are caused by the human factor, intervention programs should work to prevent and reduce thesefatal incidents by focusing on drivers. The human factor relates to aspects of risk that are controlled by people, for example,whether or not people follow driving rules, their attitude and behavior while driving, and so on. Furthermore, road users´perception of risk influences their driving behavior. As a result, this study investigates the key factors that affect drivers’ riskperception. A survey involving a Stated Preference experiment was created to collect information about drivers’ risk perceptionof five behavioral factors. The University of Granada (Spain) provided the researchers with student email addresses, which wereused to complete a total of 788 online surveys. Additionally, a stratification of the sample was developed for calibrating differentRanking Ordered Logit models, which permit the identification of differences among the key factors influencing the riskperception of the surveyed drivers. The results obtained demonstrate that not following passing rules and distracted driving arethe most influential factors on drivers’ risk perception, while speed limits were found to produce a low impact on drivers’ riskperception. Moreover, models´ results show some interesting differences in risk perceptions of drivers of differing gender anddriving experience.
A stated preference experiment for understanding drivers’ risk perception
EBOLI, Laura;MAZZULLA, GABRIELLA
2014-01-01
Abstract
Because most traffic accidents are caused by the human factor, intervention programs should work to prevent and reduce thesefatal incidents by focusing on drivers. The human factor relates to aspects of risk that are controlled by people, for example,whether or not people follow driving rules, their attitude and behavior while driving, and so on. Furthermore, road users´perception of risk influences their driving behavior. As a result, this study investigates the key factors that affect drivers’ riskperception. A survey involving a Stated Preference experiment was created to collect information about drivers’ risk perceptionof five behavioral factors. The University of Granada (Spain) provided the researchers with student email addresses, which wereused to complete a total of 788 online surveys. Additionally, a stratification of the sample was developed for calibrating differentRanking Ordered Logit models, which permit the identification of differences among the key factors influencing the riskperception of the surveyed drivers. The results obtained demonstrate that not following passing rules and distracted driving arethe most influential factors on drivers’ risk perception, while speed limits were found to produce a low impact on drivers’ riskperception. Moreover, models´ results show some interesting differences in risk perceptions of drivers of differing gender anddriving experience.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.